On evaluating models in Computational Morphodynamics.
(2012) In Current Opinion in Plant Biology 15. p.103-110- Abstract
- Recent advances in experimental plant biology have led to an increased potential to investigate plant development at a systems level. The emerging research field of Computational Morphodynamics has the aim to lead this development by combining dynamic spatial experimental data with computational models of molecular networks, growth, and mechanics in a multicellular context. The increased number of published models may lead to a diversification of our understanding of the systems, and methods for evaluating, comparing, and sharing models are main challenges for the future. We will discuss this problem using ideas originating from physics and use recent computational models of plant development as examples.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2200500
- author
- Jönsson, Henrik LU ; Gruel, Jeremy LU ; Krupinski, Pawel LU and Troein, Carl LU
- organization
- publishing date
- 2012
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Current Opinion in Plant Biology
- volume
- 15
- pages
- 103 - 110
- publisher
- Elsevier
- external identifiers
-
- wos:000300813000017
- pmid:22000039
- scopus:84855764063
- pmid:22000039
- ISSN
- 1369-5266
- DOI
- 10.1016/j.pbi.2011.09.007
- language
- English
- LU publication?
- yes
- id
- 11e4de40-8454-409c-904c-5304413e2d0e (old id 2200500)
- date added to LUP
- 2016-04-01 10:14:14
- date last changed
- 2024-01-06 11:18:59
@article{11e4de40-8454-409c-904c-5304413e2d0e, abstract = {{Recent advances in experimental plant biology have led to an increased potential to investigate plant development at a systems level. The emerging research field of Computational Morphodynamics has the aim to lead this development by combining dynamic spatial experimental data with computational models of molecular networks, growth, and mechanics in a multicellular context. The increased number of published models may lead to a diversification of our understanding of the systems, and methods for evaluating, comparing, and sharing models are main challenges for the future. We will discuss this problem using ideas originating from physics and use recent computational models of plant development as examples.}}, author = {{Jönsson, Henrik and Gruel, Jeremy and Krupinski, Pawel and Troein, Carl}}, issn = {{1369-5266}}, language = {{eng}}, pages = {{103--110}}, publisher = {{Elsevier}}, series = {{Current Opinion in Plant Biology}}, title = {{On evaluating models in Computational Morphodynamics.}}, url = {{http://dx.doi.org/10.1016/j.pbi.2011.09.007}}, doi = {{10.1016/j.pbi.2011.09.007}}, volume = {{15}}, year = {{2012}}, }